Flávio Ribeiro
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Co-authors
- Dinei FlorêncioCha ZhangMichael L. SeltzerVítor H. NascimentoDemba BaPhilip A. ChouZhengyou Zhang
- Topics
- Speech and Audio Processing (7 papers)Sparse and Compressive Sensing Techniques (3 papers)Image and Signal Denoising Methods (3 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Audio Speech and Language ProcessingProceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing
- Partner nations
- BrazilUnited StatesMozambique
In The Last Decade
Flávio Ribeiro
12 papers receiving 419 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 222
- Computer Vision and Pattern Recognition 154
- Cognitive Neuroscience 109
- Electrical and Electronic Engineering 99
- Computational Mechanics 86
Countries citing papers authored by Flávio Ribeiro
This map shows the geographic impact of Flávio Ribeiro's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Flávio Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flávio Ribeiro more than expected).
Fields of papers citing papers by Flávio Ribeiro
This network shows the impact of papers produced by Flávio Ribeiro. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Flávio Ribeiro. The network helps show where Flávio Ribeiro may publish in the future.
Co-authorship network of co-authors of Flávio Ribeiro
This figure shows the co-authorship network connecting the top 25 collaborators of Flávio Ribeiro. A scholar is included among the top collaborators of Flávio Ribeiro based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Flávio Ribeiro. Flávio Ribeiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 128 | |
| 3 | 6 | |
| 4 | 71 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 43 | |
| 9 | 31 | |
| 10 | 36 | |
| 11 | 61 | |
| 12 | 1 |
About Flávio Ribeiro
Flávio Ribeiro is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 445 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Sparse and Compressive Sensing Techniques (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Signal Processing (222 citations), Computer Science Applications (63 citations) and Computer Vision and Pattern Recognition (154 citations). Flávio Ribeiro has collaborated with scholars based in Brazil, United States and Mozambique. Frequent co-authors include Dinei Florêncio, Cha Zhang, Michael L. Seltzer, Vítor H. Nascimento, Demba Ba, Philip A. Chou and Zhengyou Zhang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Audio Speech and Language Processing and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.